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Teng Tian
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2020 – today
- 2024
- [c12]Huawen Liang, Qizhe Wu, Wei Yuan, Teng Tian, Xi Jin:
RingTK: A Ring, Parallel and High Performance Top-K Sorter on FPGA. FCCM 2024: 221 - [c11]Haijun Huang, Teng Tian, Jing Zhao, Yidong Gu, Ruwang Jiao, Tao Peng:
Artificial Intelligence-Guided Fully-Automatic Renal Segmentation. PRICAI (3) 2024: 147-157 - 2023
- [j7]Zerong He, Teng Tian, Qizhe Wu, Xi Jin:
FTW-GAT: An FPGA-Based Accelerator for Graph Attention Networks With Ternary Weights. IEEE Trans. Circuits Syst. II Express Briefs 70(11): 4211-4215 (2023) - 2022
- [j6]Teng Tian, Letian Zhao, Xiaotian Wang, Qizhe Wu, Wei Yuan, Xi Jin:
FP-GNN: Adaptive FPGA accelerator for Graph Neural Networks. Future Gener. Comput. Syst. 136: 294-310 (2022) - [j5]Wei Yuan, Teng Tian, Qizhe Wu, Xi Jin:
QEGCN: An FPGA-based accelerator for quantized GCNs with edge-level parallelism. J. Syst. Archit. 129: 102596 (2022) - [j4]Teng Tian, Xiaotian Wang, Letian Zhao, Wei Wu, Xuecang Zhang, Fangmin Lu, Tianqi Wang, Xi Jin:
G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing. J. Syst. Archit. 129: 102602 (2022) - [j3]Letian Zhao, Rui Xu, Tianqi Wang, Teng Tian, Xiaotian Wang, Wei Wu, Chio-in Ieong, Xi Jin:
BaPipe: Balanced Pipeline Parallelism for DNN Training. Parallel Process. Lett. 32(3&4): 2250005:1-2250005:17 (2022) - [j2]Xiaotian Wang, Teng Tian, Letian Zhao, Wei Wu, Xi Jin:
Exploration of Balanced Design in Resource-Constrained Edge Device for Efficient CNNs. IEEE Trans. Circuits Syst. II Express Briefs 69(11): 4573-4577 (2022) - [c10]Wei Wu, Letian Zhao, Qizhe Wu, Xiaotian Wang, Teng Tian, Xi Jin:
An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge. HPEC 2022: 1-5 - [c9]Letian Zhao, Qizhe Wu, Xiaotian Wang, Teng Tian, Wei Wu, Xi Jin:
HuGraph: Acceleration of GCN Training on Heterogeneous FPGA Clusters with Quantization. HPEC 2022: 1-7 - 2021
- [c8]Qizhe Wu, Linfeng Tao, Huawen Liang, Wei Yuan, Teng Tian, Shuang Xue, Xi Jin:
Software-Hardware Co-Optimization on Partial-Sum Problem for PIM-based Neural Network Accelerator. HPEC 2021: 1-7 - [c7]Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan:
Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. ICONIP (4) 2021: 464-476 - [c6]Wei Yuan, Teng Tian, Huawen Liang, Xi Jin:
A Gather Accelerator for GNNs on FPGA Platform. ICPADS 2021: 74-81 - 2020
- [c5]Teng Tian, Xi Jin, Letian Zhao, Xiaotian Wang, Jie Wang, Wei Wu:
Exploration of Memory Access Optimization for FPGA-based 3D CNN Accelerator. DATE 2020: 1650-1655 - [i1]Letian Zhao, Rui Xu, Tianqi Wang, Teng Tian, Xiaotian Wang, Wei Wu, Chio-in Ieong, Xi Jin:
BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training. CoRR abs/2012.12544 (2020)
2010 – 2019
- 2019
- [c4]Linfeng Tao, Rui Xu, Teng Tian, Zikun Xiang, Yifei Li, Xi Jin, Jun Ren, Zhengda Li, Chenxia Li:
CINT - An Energy-efficient Mixed-signal In-Memory CNN Accelerator Based on NOR Flash Memory. MobiSys 2019: 612-613 - 2018
- [j1]Shuaizhi Guo, Tianqi Wang, Linfeng Tao, Teng Tian, Zikun Xiang, Xi Jin:
RP-Ring: A Heterogeneous Multi-FPGA Accelerator. Int. J. Reconfigurable Comput. 2018 (2018) - [c3]Rui Xu, Xi Jin, Linfeng Tao, Shuaizhi Guo, Zikun Xiang, Teng Tian:
An efficient resource-optimized learning prefetcher for solid state drives. DATE 2018: 273-276 - [c2]Hao Shi, Teng Tian, Xiaoxiao Zhao, Yujie Xiao:
Modified Method for Orbit Relative Reachable Domain with State Uncertainties. ICCSIP (1) 2018: 393-405 - 2017
- [c1]Teng Tian, Tianqi Wang, Xi Jin:
An Efficient Hardware Prefetcher Exploiting the Prefetch Potential of Long-Stride Access Pattern on Virtual Address. ISPA/IUCC 2017: 48-57
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